Sr Manager, Data Scientist

ABOUT THIS POSITION

As the Sr. Manager, Data Science, you will be a technical and operational leader reporting to the VP of Data Science. Your primary responsibility will be to lead a team of data scientists, driving the development and deployment of innovative data science solutions that support Waystar’s AltitudeAI™ platform and healthcare revenue cycle management (RCM) products. This role requires strong handson expertise in machine learning, a passion for mentoring, and the ability to deliver productiongrade solutions that improve customer outcomes in a regulated environment. The ideal candidate excels in dynamic, fastmoving environments and is comfortable creating clarity where direction may be shifting or evolving.

WHAT YOU'LL DO

Team Leadership & Project Execution 

• Lead, mentor, and develop a team of data scientists, fostering a culture of technical excellence, collaboration, and continuous learning. 

• Manage daytoday operations of data science initiatives, ensuring timely delivery and alignment with strategic and product objectives. 

• Oversee the development, implementation, and monitoring of machine learning models, ensuring accuracy, compliance, and reliability in production settings. 

• Collaborate closely with product, engineering, and analytics teams to integrate data science solutions into core platform offerings. 

• Ensure structured communication and alignment across crossfunctional teams, helping drive clarity and consistency in direction and decisionmaking. 

Technical Execution & Innovation 

• Apply advanced machine learning techniques (classification, regression, clustering, NLP, LLMs, anomaly detection) to solve business and clinical challenges in healthcare RCM. 

• Develop and maintain robust model governance processes, including versioning, monitoring, and drift detection. 

• Support the evaluation and adoption of new technologies and tools to enhance data science capabilities. 

• Participate in the design and execution of A/B tests and experiments to measure the impact of deployed models. 

• Effectively manage ambiguity and navigate evolving requirements to ensure highquality technical outcomes. 

Collaboration & Communication 

• Communicate technical findings, project status, and risks to stakeholders, including product managers and engineering leads. 

• Contribute to the development of technical documentation and best practices for the data science team. 

• Support the team’s professional development through coaching, training, and knowledge sharing. 

WHAT YOU'LL NEED

• Master’s degree in Computer Science, Statistics, Math, Data Science, or a related quantitative field. 

• 7+ years of experience in data science or machine learning, with at least 2 years in a leadership or team lead role. 

• Handson expertise in the full machine learning lifecycle, including model development, deployment, and monitoring. 

• Experience with deep learning, NLP, and generative AI techniques (e.g., transformers, LLMs) preferred. 

• Strong programming skills in Python and familiarity with ML frameworks (